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index 4557ee186..000000000
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diff --git a/cachedir/joblib/run/GridSearchForModels/655a6eaba76ddf35cbc9b77dd123f6d1/metadata.json b/cachedir/joblib/run/GridSearchForModels/655a6eaba76ddf35cbc9b77dd123f6d1/metadata.json
new file mode 100644
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similarity index 68%
rename from cachedir/joblib/run/GridSearchForModels/f65100287df9d7556b1577f986d92129/output.pkl
rename to cachedir/joblib/run/GridSearchForModels/6af4a60c3ab79f2a59a2c852d99a7740/output.pkl
index f089764cc..3af738c57 100644
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deleted file mode 100644
index cb9abbdb8..000000000
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diff --git a/cachedir/joblib/run/GridSearchForModels/72ee0dae832b932164fbb238cdd167cb/metadata.json b/cachedir/joblib/run/GridSearchForModels/72ee0dae832b932164fbb238cdd167cb/metadata.json
deleted file mode 100644
index 0b17df8c0..000000000
--- a/cachedir/joblib/run/GridSearchForModels/72ee0dae832b932164fbb238cdd167cb/metadata.json
+++ /dev/null
@@ -1 +0,0 @@
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\ No newline at end of file
diff --git a/cachedir/joblib/run/GridSearchForModels/7987784bb00482e6d734e7418e8e7825/metadata.json b/cachedir/joblib/run/GridSearchForModels/7987784bb00482e6d734e7418e8e7825/metadata.json
new file mode 100644
index 000000000..b2a28a5d4
--- /dev/null
+++ b/cachedir/joblib/run/GridSearchForModels/7987784bb00482e6d734e7418e8e7825/metadata.json
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/cachedir/joblib/run/GridSearchForModels/84c9e65e096b72223ec9394ef6c77677/metadata.json b/cachedir/joblib/run/GridSearchForModels/84c9e65e096b72223ec9394ef6c77677/metadata.json
new file mode 100644
index 000000000..16ee08538
--- /dev/null
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new file mode 100644
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\ No newline at end of file
diff --git a/cachedir/joblib/run/GridSearchForModels/aa7b669072217a30f580f31b1f22c109/metadata.json b/cachedir/joblib/run/GridSearchForModels/aa7b669072217a30f580f31b1f22c109/metadata.json
deleted file mode 100644
index 9bb87167e..000000000
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diff --git a/cachedir/joblib/run/GridSearchForModels/c9f7ad12fbeadc6012d9b5d28fd5d889/metadata.json b/cachedir/joblib/run/GridSearchForModels/c9f7ad12fbeadc6012d9b5d28fd5d889/metadata.json
new file mode 100644
index 000000000..fc0903b9c
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new file mode 100644
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diff --git a/cachedir/joblib/run/GridSearchForModels/da0b6483b461b61b7f4703390b9d52a4/output.pkl.REMOVED.git-id b/cachedir/joblib/run/GridSearchForModels/da0b6483b461b61b7f4703390b9d52a4/output.pkl.REMOVED.git-id
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diff --git a/cachedir/joblib/run/GridSearchForModels/e20db815e97d599adf98f06c37ea0d88/metadata.json b/cachedir/joblib/run/GridSearchForModels/e20db815e97d599adf98f06c37ea0d88/metadata.json
new file mode 100644
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new file mode 100644
index 000000000..9a4add28a
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new file mode 100644
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diff --git a/cachedir/joblib/run/GridSearchForModels/fae571cb8275aa179fbc88d44e722bdf/output.pkl.REMOVED.git-id b/cachedir/joblib/run/GridSearchForModels/fae571cb8275aa179fbc88d44e722bdf/output.pkl.REMOVED.git-id
deleted file mode 100644
index bc49f7db4..000000000
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diff --git a/cachedir/joblib/run/GridSearchForModels/fb36bc13646b59fa075cbef1b5f8c47e/metadata.json b/cachedir/joblib/run/GridSearchForModels/fb36bc13646b59fa075cbef1b5f8c47e/metadata.json
deleted file mode 100644
index 88d2a20f2..000000000
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diff --git a/cachedir/joblib/run/GridSearchForModels/fb3815bf3f2bf82cd75faa5a3a9cbe4b/metadata.json b/cachedir/joblib/run/GridSearchForModels/fb3815bf3f2bf82cd75faa5a3a9cbe4b/metadata.json
deleted file mode 100644
index f5998c3ef..000000000
--- a/cachedir/joblib/run/GridSearchForModels/fb3815bf3f2bf82cd75faa5a3a9cbe4b/metadata.json
+++ /dev/null
@@ -1 +0,0 @@
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5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5]", "clf": "GradientBoostingClassifier(ccp_alpha=0.0, criterion='mae', init=None,\n learning_rate=0.12, loss='deviance', max_depth=3,\n max_features=None, max_leaf_nodes=None,\n min_impurity_decrease=0.0, min_impurity_split=None,\n min_samples_leaf=1, min_samples_split=2,\n min_weight_fraction_leaf=0.0, n_estimators=114,\n n_iter_no_change=None, presort='deprecated',\n random_state=None, subsample=1.0, tol=0.0001,\n validation_fraction=0.1, verbose=0,\n warm_start=False)", "params": "{'n_estimators': [85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114], 'learning_rate': [0.01, 0.12], 'criterion': ['friedman_mse', 'mse', 'mae']}", "eachAlgor": "'GradB'", "AlgorithmsIDsEnd": "2926", "toggle": "0"}}
\ No newline at end of file
diff --git a/cachedir/joblib/run/GridSearchForModels/fee66581911cfa2324cc40a9d0b5d65a/output.pkl.REMOVED.git-id b/cachedir/joblib/run/GridSearchForModels/fee66581911cfa2324cc40a9d0b5d65a/output.pkl.REMOVED.git-id
deleted file mode 100644
index 454e5a217..000000000
--- a/cachedir/joblib/run/GridSearchForModels/fee66581911cfa2324cc40a9d0b5d65a/output.pkl.REMOVED.git-id
+++ /dev/null
@@ -1 +0,0 @@
-70ce14a45756362ae1513bb2cb267b085e6bbbf1
\ No newline at end of file
diff --git a/cachedir/joblib/run/GridSearchForModels/feff3eb388078b3f79cf8488ff40a745/output.pkl b/cachedir/joblib/run/GridSearchForModels/feff3eb388078b3f79cf8488ff40a745/output.pkl
new file mode 100644
index 000000000..d6e19e0e9
Binary files /dev/null and b/cachedir/joblib/run/GridSearchForModels/feff3eb388078b3f79cf8488ff40a745/output.pkl differ
diff --git a/cachedir/joblib/run/GridSearchForModels/func_code.py b/cachedir/joblib/run/GridSearchForModels/func_code.py
index 55960d7f4..cfb2b65cc 100644
--- a/cachedir/joblib/run/GridSearchForModels/func_code.py
+++ b/cachedir/joblib/run/GridSearchForModels/func_code.py
@@ -1,4 +1,4 @@
-# first line: 559
+# first line: 552
@memory.cache
def GridSearchForModels(XData, yData, clf, params, eachAlgor, AlgorithmsIDsEnd, toggle):
# instantiate spark session
@@ -63,6 +63,8 @@ def GridSearchForModels(XData, yData, clf, params, eachAlgor, AlgorithmsIDsEnd,
PerFeatureAccuracyAll = []
PerClassMetric = []
perModelProb = []
+
+ perModelPrediction = []
resultsMicro = []
resultsMacro = []
resultsWeighted = []
@@ -85,7 +87,8 @@ def GridSearchForModels(XData, yData, clf, params, eachAlgor, AlgorithmsIDsEnd,
inputs = range(len(XData))
num_cores = multiprocessing.cpu_count()
- impDataInst = Parallel(n_jobs=num_cores)(delayed(processInput)(i,XData,yData,crossValidation,clf) for i in inputs)
+ #impDataInst = Parallel(n_jobs=num_cores)(delayed(processInput)(i,XData,yData,crossValidation,clf) for i in inputs)
+
for eachModelParameters in parametersLocalNew:
clf.set_params(**eachModelParameters)
if (toggle == 1):
@@ -103,6 +106,7 @@ def GridSearchForModels(XData, yData, clf, params, eachAlgor, AlgorithmsIDsEnd,
clf.fit(XData, yData)
yPredict = clf.predict(XData)
yPredict = np.nan_to_num(yPredict)
+ perModelPrediction.append(yPredict)
# retrieve target names (class names)
PerClassMetric.append(classification_report(yData, yPredict, target_names=target_names, digits=2, output_dict=True))
yPredictProb = clf.predict_proba(XData)
@@ -128,7 +132,7 @@ def GridSearchForModels(XData, yData, clf, params, eachAlgor, AlgorithmsIDsEnd,
resultsWeightedBeta2.append(fbeta_score(yData, yPredict, average='weighted', beta=2))
resultsLogLoss.append(log_loss(yData, yPredictProb, normalize=True))
- print('perase')
+
maxLog = max(resultsLogLoss)
minLog = min(resultsLogLoss)
for each in resultsLogLoss:
@@ -154,6 +158,10 @@ def GridSearchForModels(XData, yData, clf, params, eachAlgor, AlgorithmsIDsEnd,
metrics.insert(loop+13,'log_loss',resultsLogLossFinal)
+ perModelPredPandas = pd.DataFrame(perModelPrediction)
+ print(perModelPredPandas)
+ perModelPredPandas = perModelPredPandas.to_json()
+
perModelProbPandas = pd.DataFrame(perModelProb)
perModelProbPandas = perModelProbPandas.to_json()
@@ -189,6 +197,6 @@ def GridSearchForModels(XData, yData, clf, params, eachAlgor, AlgorithmsIDsEnd,
metrics = metrics.to_json()
results.append(metrics) # Position: 6 and so on
results.append(perModelProbPandas) # Position: 7 and so on
- results.append(json.dumps(impDataInst)) # Position: 8 and so on
+ results.append(json.dumps(perModelPredPandas)) # Position: 8 and so on
return results
diff --git a/frontend/src/components/Active.vue b/frontend/src/components/Active.vue
new file mode 100644
index 000000000..3c9a642d4
--- /dev/null
+++ b/frontend/src/components/Active.vue
@@ -0,0 +1,27 @@
+
+
+
+
+
\ No newline at end of file
diff --git a/frontend/src/components/AlgorithmHyperParam.vue b/frontend/src/components/AlgorithmHyperParam.vue
index 0c17b615c..424c5de8b 100644
--- a/frontend/src/components/AlgorithmHyperParam.vue
+++ b/frontend/src/components/AlgorithmHyperParam.vue
@@ -1,5 +1,5 @@
-
+
\ No newline at end of file
diff --git a/frontend/src/components/Controller.vue b/frontend/src/components/Controller.vue
index 6b54ec25b..c52d8c01a 100644
--- a/frontend/src/components/Controller.vue
+++ b/frontend/src/components/Controller.vue
@@ -1,5 +1,5 @@
-